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A defesa simbólica e política do território indígena: Cuetzalan, Puebla (México)

2014· article· pt· W2625693580 on OpenAlexaff
Pierre Beaucage

Bibliographic record

VenueInterethnic - Revista de Estudos em Relações Interétnicas · 2014
Typearticle
Languagept
FieldSocial Sciences
TopicIndigenous Cultures and Socio-Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceCONQUESTArtHistoryAncient history

Abstract

fetched live from OpenAlex

Este artigo, baseado em uma pesquisa participativa de longo prazo, quer mostrar como a defesa do território pelos Nahua de Cuetzalan não se limita a enfrentamentos. Eles se manifestam através de séculos de apropriação material, política e simbólica do seu território. Às grandes transformações que lhes foram impostas – como a conquista espanhola, a desamortização do común de naturales e a chegada de comerciantes e agricultores mestiços – responderam preservando e adaptando a sua agricultura camponesa. Politicamente, combinaram a luta jurídica pacífica e a ação direta. Simbolicamente, carregaram de significado cada parcela de seu território através de uma rica toponímia, intimamente conectada à sua memória coletiva. Nossa abordagem etno-histórica permite compreender a construção de construção de identidade indígena e o ecossistema cuetzaltecos, construção que ajudou sua organização para o controle da produção, nas décadas anteriores. Também compreender a mobilização atual contra os megaprojetos turísticos, minerários e hidroelétricos na região.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.588

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.341
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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